HMM BASED RECOGNITION OF CHINESE TONES IN CONTINUOUS SPEECH

被引：0
|
作者：
Zhao Li (Department of Radio Engineering
机构：
来源：
Journal of Electronics(China) | 2000年 / 01期
关键词：
Chinese continuous speech; Tone recognition; Fundamental frequency; Continuous HMM;
D O I：
暂无
中图分类号：
TN912.34 [语音识别与设备];
学科分类号：
0711 ;
摘要：
This paper describes a method for recognizing Chinese tones in continuous speech. The first and second order differentials of the fundamental frequency logarithmically converted are used as feature parameters. A left-to-right hidden Markov modeling with five states, each of which is modeled by a single Gaussian distribution, expresses each of Chinese tones. Non-voiced portions are coded by random values normally distributed to uniformly deal with all the time frames in an utterance. Speaker dependent tone recognition was conducted for ten speakers. The average rate of 81.8% was obtained for these speakers.
引用
收藏
页码：9 / 14
页数：6
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